Long noncoding RNA LINC01578 drives colon cancer metastasis through a positive feedback loop with the NF‐κB/YY1 axis

Metastasis accounts for poor prognosis of cancers and related deaths. Accumulating evidence has shown that long noncoding RNAs (lncRNAs) play critical roles in several types of cancer. However, which lncRNAs contribute to metastasis of colon cancer is still largely unknown. In this study, we found that lncRNA LINC01578 was correlated with metastasis and poor prognosis of colon cancer. LINC01578 was upregulated in colon cancer, associated with metastasis, advanced clinical stages, poor overall survival, disease‐specific survival, and disease‐free survival. Gain‐of‐function and loss‐of‐function assays revealed that LINC01578 enhanced colon cancer cell viability and mobility in vitro and colon cancer liver metastasis in vivo. Mechanistically, nuclear factor kappa B (NF‐κB) and Yin Yang 1 (YY1) directly bound to the LINC01578 promoter, enhanced its activity, and activated LINC01578 expression. LINC01578 was shown to be a chromatin‐bound lncRNA, which directly bound NFKBIB promoter. Furthermore, LINC01578 interacted with and recruited EZH2 to NFKBIB promoter and further repressed NFKBIB expression, thereby activating NF‐κB signaling. Through activation of NF‐κB, LINC01578 further upregulated YY1 expression. Through activation of the NF‐κB/YY1 axis, LINC01578 in turn enhanced its own promoter activity, suggesting that LINC01578 and NF‐κB/YY1 formed a positive feedback loop. Blocking NF‐κB signaling abolished the oncogenic roles of LINC01578 in colon cancer. Furthermore, the expression levels of LINC01578, NFKBIB, and YY1 were correlated in clinical tissues. Collectively, this study demonstrated that LINC01578 promoted colon cancer metastasis via forming a positive feedback loop with NF‐κB/YY1 and suggested that LINC01578 represents a potential prognostic biomarker and therapeutic target for colon cancer metastasis.

Abbreviations

ChIP

chromatin immunoprecipitation

ChIRP

chromatin isolation by RNA purification

COAD

colon adenocarcinoma

CPAT

Coding‐Potential Assessment Tool

CPC

coding potential calculator

DFS

disease‐free survival

DSS

disease‐specific survival

EdU

5‐ethynyl‐2''‐deoxyuridine

H&E

hematoxylin and eosin

HR

hazard ratio

IHC

immunohistochemistry

IKK

IκB kinase

IκB

inhibitory κB

lncRNAs

long noncoding RNAs

NC

negative control

NCBI

National Center for Biotechnology Information

NF‐κB

nuclear factor kappa B

qRT‐PCR

quantitative real‐time polymerase chain reaction

RIP

RNA immunoprecipitation

RPISeq

RNA‐Protein Interaction Prediction

TCGA

The Cancer Genome Atlas

TNF

tumor necrosis factor

TUNEL

TdT‐mediated dUTP Nick‐End Labeling

YY1

Yin Yang 1

     

TGFβ promotes YAP‐dependent AXL induction in mesenchymal‐type lung cancer cells

The acquisition of chemoresistance remains a major cause of cancer mortality due to the limited accessibility of targeted or immune therapies. However, given that severe alterations of molecular features during epithelial‐to‐mesenchymal transition (EMT) lead to acquired chemoresistance, emerging studies have focused on identifying targetable drivers associated with acquired chemoresistance. Particularly, AXL, a key receptor tyrosine kinase that confers resistance against targets and chemotherapeutics, is highly expressed in mesenchymal cancer cells. However, the underlying mechanism of AXL induction in mesenchymal cancer cells is poorly understood. Our study revealed that the YAP signature, which was highly enriched in mesenchymal‐type lung cancer, was closely correlated to AXL expression in 181 lung cancer cell lines. Moreover, using isogenic lung cancer cell pairs, we also found that doxorubicin treatment induced YAP nuclear translocation in mesenchymal‐type lung cancer cells to induce AXL expression. Additionally, the concurrent activation of TGFβ signaling coordinated YAP‐dependent AXL expression through SMAD4. These data suggest that crosstalk between YAP and the TGFβ/SMAD axis upon treatment with chemotherapeutics might be a promising target to improve chemosensitivity in mesenchymal‐type lung cancer.

Abbreviations

AUC

area under the curve

AXL

AXL receptor tyrosine kinase

BCL2

B‐cell lymphoma 2

CTD2

cancer target discovery and development

CTGF

connective tissue growth factor

DEG

differentially expressed genes

DOXO

doxorubicin

EMT

epithelial–mesenchymal transition

Eto

etoposide

FDA

Food and Drug Administration

ITGB3

integrin beta‐3

MAPK

mitogen‐activated protein kinase

MMP2

matrix metalloproteinase‐2

MMP9

matrix metalloproteinase‐9

mRNA

messenger RNA

NF‐κB

nuclear factor kappa‐light‐chain‐enhancer of activated B cells

SBE

SMAD binding element

SERPINE1

serpin family E member 1

siRNA

small interfering RNA

ssGSEA

single‐sample gene set enrichment analysis

TCGA

The Cancer Genome Atlas

TGFβ

transforming growth factor beta

YAP

Yes‐associated protein

YAP8SA

mutants of inhibitory phosphorylation site at eight serine to Alanine of YAP

ZEB1

zinc finger E‐box binding homeobox 1

ZEB2

zinc finger E‐box‐binding homeobox 2

     

Targeted inhibition of ERα signaling and PIP5K1α/Akt pathways in castration‐resistant prostate cancer

Selective ERα modulator, tamoxifen, is well tolerated in a heavily pretreated castration‐resistant prostate cancer (PCa) patient cohort. However, its targeted gene network and whether expression of intratumor ERα due to androgen deprivation therapy (ADT) may play a role in PCa progression is unknown. In this study, we examined the inhibitory effect of tamoxifen on castration‐resistant PCa in vitro and in vivo. We found that tamoxifen is a potent compound that induced a high degree of apoptosis and significantly suppressed growth of xenograft tumors in mice, at a degree comparable to ISA‐2011B, an inhibitor of PIP5K1α that acts upstream of PI3K/AKT survival signaling pathway. Moreover, depletion of tumor‐associated macrophages using clodronate in combination with tamoxifen increased inhibitory effect of tamoxifen on aggressive prostate tumors. We showed that both tamoxifen and ISA‐2011B exert their on‐target effects on prostate cancer cells by targeting cyclin D1 and PIP5K1α/AKT network and the interlinked estrogen signaling. Combination treatment using tamoxifen together with ISA‐2011B resulted in tumor regression and had superior inhibitory effect compared with that of tamoxifen or ISA‐2011B alone. We have identified sets of genes that are specifically targeted by tamoxifen, ISA‐2011B or combination of both agents by RNA‐seq. We discovered that alterations in unique gene signatures, in particular estrogen‐related marker genes are associated with poor patient disease‐free survival. We further showed that ERα interacted with PIP5K1α through formation of protein complexes in the nucleus, suggesting a functional link. Our finding is the first to suggest a new therapeutic potential to inhibit or utilize the mechanisms related to ERα, PIP5K1α/AKT network, and MMP9/VEGF signaling axis, providing a strategy to treat castration‐resistant ER‐positive subtype of prostate cancer tumors with metastatic potential.

Abbreviations

CRPC

castration‐resistant prostate cancer

DHT

dihydrotestosterone

E2

estradiol

ERα

estrogen receptor alpha

GO

gene ontology

NG‐CHM

Next‐Generation Clustered Heatmaps

PCa

prostate cancer

TMAs

tissue microarrays

     

Deubiquitinase OTUD6A promotes proliferation of cancer cells via regulating Drp1 stability and mitochondrial fission

Dynamin‐related protein 1 (Drp1) is a cytosolic protein responsible for mitochondrial fission and is essential in the initiation and development of several human diseases, including cancer. However, the regulation of Drp1, especially of its ubiquitination, remains unclear. In this study, we report that the ovarian tumor‐associated protease deubiquitinase 6A (OTUD6A) deubiquitylates and stabilizes Drp1, thereby facilitating regulation of mitochondrial morphology and tumorigenesis. OTUD6A is upregulated in human patients with colorectal cancer. The depletion of OTUD6A leads to lower Drp1 levels and suppressed mitochondrial fission, and the affected cells are consequently less prone to tumorigenesis. Conversely, the overexpression of OTUD6A increases Drp1 levels and its protein half‐life and enhances cancer cell growth. Therefore, our results reveal a novel upstream protein of Drp1, and its role in tumorigenesis that is played, in part, through the activation of mitochondrial fission mediated by Drp1.

Abbreviations

Drp1

dynamin‐related protein 1

DUBs

deubiquitinases

His‐ub

His‐ubiquitin

IB

immunoblot

IHC

immunohistochemistry

IP

immunoprecipitation

MARCH5

membrane‐associated ring‐CH‐type finger 5

Mfn1

mitofusin 1

Mfn2

mitofusin 2

NIK

NF‐κB‐inducing kinase

Opa1

optic atrophy 1

OTUs

ovarian tumor‐associated proteases

OTUD6A

ovarian tumor‐associated protease deubiquitinase 6A

     

Targeting immunogenic cell death in cancer

Immunogenic cell death (ICD) is a type of cancer cell death triggered by certain chemotherapeutic drugs, oncolytic viruses, physicochemical therapies, photodynamic therapy, and radiotherapy. It involves the activation of the immune system against cancer in immunocompetent hosts. ICD comprises the release of damage‐associated molecular patterns (DAMPs) from dying tumor cells that result in the activation of tumor‐specific immune responses, thus eliciting long‐term efficacy of anticancer drugs by combining direct cancer cell killing and antitumor immunity. Remarkably, subcutaneous injection of dying tumor cells undergoing ICD has been shown to provoke anticancer vaccine effects in vivo. DAMPs include the cell surface exposure of calreticulin (CRT) and heat‐shock proteins (HSP70 and HSP90), extracellular release of adenosine triphosphate (ATP), high‐mobility group box‐1 (HMGB1), type I IFNs and members of the IL‐1 cytokine family. In this review, we discuss the cell death modalities connected to ICD, the DAMPs exposed during ICD, and the mechanism by which they activate the immune system. Finally, we discuss the therapeutic potential and challenges of harnessing ICD in cancer immunotherapy.

Abbreviations

ATP

adenosine triphosphate

BAK

BCL‐2 homologous antagonist killer

BAX

BCL‐2‐associated X protein

BCL‐2

B‐cell lymphoma 2

BID

BH3‐interacting domain death agonist

c‐FLIP

cellular FLICE‐like inhibitory protein

cGAMP

cyclic guanosine monophosphate–adenosine monophosphate

cGAS

cyclic GMP‐AMP synthase

CRT

calreticulin

CXCL10

chemokine C‐X‐C motif ligand 10

DAMPs

damage‐associated molecular patterns

DCs

dendritic cells

DISC

death‐inducing signaling complex

ER

endoplasmic reticulum

FADD

FAS‐associated protein with death domain

FASL

FAS ligand

GSDMD

gasdermin D

GSDMD^NT

N‐terminal fragment of gasdermin D

GSDME

gasdermin E

HMGB1

high‐mobility group box‐1

HSP

heat‐shock proteins

Hyp‐PDT

hypericin‐based photodynamic therapy

ICD

immunogenic cell death

IFN

interferon

IFNAR

IFN‐α and IFN‐β receptors

IL

interleukin

IRF3

interferon regulatory factor 3

ISGs

IFN‐stimulated genes

LPS

lipopolysaccharide

MAPK

mitogen‐activated protein kinase

MHC

major histocompatibility complex

MLKL

mixed‐lineage kinase‐like

MOMP

mitochondrial outer membrane permeabilization

mtDNA

mitochondrial DNA

NF‐κB

nuclear factor kappa‐light‐chain‐enhancer of activated B cells

NK cells

natural killer cells

NLR

NOD‐like receptor

NLRP3

NOD‐like receptor family, pyrin domain‐containing 3 protein

P2RX7

purinergic receptor P2X 7

PD‐L1

programmed death ligand

PRRs

pattern recognition receptors

PS

phosphatidyl serine

RCD

regulated cell death

RIPK1

receptor‐interacting serine/threonine protein kinase 1

RIPK3

receptor‐interacting serine/threonine protein kinase 3

ROS

reactive oxygen species

STING

stimulator of interferon genes

tBID

truncated form of BID

TBK1

TANK‐binding kinase 1

TLR

Toll‐like receptor

TNF

tumor necrosis factor

TRAIL

TNF‐related apoptosis‐inducing ligand

ZBP

Z‐DNA‐binding protein

     

The RNA‐binding protein MEX3A is a prognostic factor and regulator of resistance to gemcitabine in pancreatic ductal adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer. Most patients present with advanced disease at diagnosis, which only permits palliative chemotherapeutic treatments. RNA dysregulation is a hallmark of most human cancers, including PDAC. To test the impact of RNA processing dysregulation on PDAC pathology, we performed a bioinformatics analysis to identify RNA‐binding proteins (RBPs) associated with prognosis. Among the 12 RBPs associated with progression‐free survival, we focused on MEX3A because it was recently shown to mark an intestinal stem cell population that is refractory to chemotherapeutic treatments, a typical feature of PDAC. Increased expression of MEX3A was correlated with higher disease stage in PDAC patients and with tumor development in a mouse model of PDAC. Depletion of MEX3A in PDAC cells enhanced sensitivity to chemotherapeutic treatment with gemcitabine, whereas its expression was increased in PDAC cells selected upon chronic exposure to the drug. RNA‐sequencing analyses highlighted hundreds of genes whose expression is sensitive to MEX3A expression, with significant enrichment in cell cycle genes. MEX3A binds to its target mRNAs, like cyclin‐dependent kinase 6 (CDK6), and promotes their stability. Accordingly, knockdown of MEX3A caused a significant reduction in PDAC cell proliferation and in progression to the S phase of the cell cycle. These findings uncover a novel role for MEX3A in the acquisition and maintenance of chemoresistance by PDAC cells, suggesting that it may represent a novel therapeutic target for PDAC.

Abbreviations

CLIP

UV‐crosslink and RNA immunoprecipitation

DFS

disease‐free survival

DR

drug resistant

EMT

mesenchymal transition

MC

MITO‐Cre

MKC

MITO‐Kras‐Cre

PARG

poly (ADP‐ribose) glycohydrolase

PDAC

pancreatic ductal adenocarcinoma

PI

propidium iodide

RBPs

RNA‐binding proteins

RNA‐seq

RNA sequencing

RNP

ribonucleoprotein

TGCA

The Cancer Genome Atlas

     

Intratumoral immunosuppression profiles in 11q‐deleted neuroblastomas provide new potential therapeutic targets

High‐risk neuroblastoma (NB) patients with 11q deletion frequently undergo late but consecutive relapse cycles with fatal outcome. To date, no actionable targets to improve current multimodal treatment have been identified. We analyzed immune microenvironment and genetic profiles of high‐risk NB correlating with 11q immune status. We show in two independent cohorts that 11q‐deleted NB exhibits various immune inhibitory mechanisms, including increased CD4+ resting T cells and M2 macrophages, higher expression of programmed death‐ligand 1, interleukin‐10, transforming growth factor‐beta‐1, and indoleamine 2,3‐dioxygenase 1 (P < 0.05), and also higher chromosomal breakages (P ≤ 0.02) and hemizygosity of immunosuppressive miRNAs than MYCN‐amplified and other 11q‐nondeleted high‐risk NB. We also analyzed benefits of maintenance treatment in 83 high‐risk stage M NB patients focusing on 11q status, either with standard anti‐GD2 immunotherapy (n = 50) or previous retinoic acid‐based therapy alone (n = 33). Immunotherapy associated with higher EFS (50 vs. 30, P = 0.028) and OS (72 vs. 52, P = 0.047) at 3 years in the overall population. Despite benefits from standard anti‐GD2 immunotherapy in high‐risk NB patients, those with 11q deletion still face poor outcome. This NB subgroup displays intratumoral immune suppression profiles, revealing a potential therapeutic strategy with combination immunotherapy to circumvent this immune checkpoint blockade.

Abbreviations

11q‐del

11q‐deleted

ADCC

antibody‐dependent cellular cytotoxicity

CDC

complement‐dependent cytotoxicity

COJEC

chemotherapeutic agents cisplatin, vincristine, carboplatin, etoposide, and cyclophosphamide

CTLA‐4

cytotoxic T lymphocyte antigen 4

EFS

event‐free survival

FISH

fluorescence in situ hybridization

HR

hazard ratio

ICI

immune checkpoint inhibitor

IDO1

indoleamine 2,3‐dioxygenase 1

IFN‐γ

interferon‐γ

IL‐10

interleukin 10

INRG

International Neuroblastoma Risk Group

miR

microRNA

MLPA

multiplex ligation‐dependent probe amplification

MMR

mismatch repair

MNA

MYCN amplification

MS

metastatic special stage

MSI

microsatellite instability

NB

neuroblastoma

NCA

numerical chromosome aberrations

NOS

nitric oxide synthase

OS

overall survival

PD‐1

programmed cell death protein 1

PD‐L1

programmed death‐ligand 1

SCA

segmental chromosome aberrations

TAM

tumor‐associated macrophages

Tfh

follicular helper T cells

TGF‐β

tumor growth factor‐β

TMB

tumor mutational burden

TME

tumor microenvironment

TNF‐α

tumor necrosis factor‐α

Treg

regulatory T cells

     

SIK2 represses AKT/GSK3β/β‐catenin signaling and suppresses gastric cancer by inhibiting autophagic degradation of protein phosphatases

Salt‐inducible kinase 2 (SIK2) is an important regulator in various intracellular signaling pathways related to apoptosis, tumorigenesis and metastasis. However, the involvement of SIK2 in gastric tumorigenesis and the functional linkage with gastric cancer (GC) progression remain to be defined. Here, we report that SIK2 was significantly downregulated in human GC tissues, and reduced SIK2 expression was associated with poor prognosis of patients. Overexpression of SIK2 suppressed the migration and invasion of GC cells, whereas knockdown of SIK2 enhanced cell migratory and invasive capability as well as metastatic potential. These changes in the malignant phenotype resulted from the ability of SIK2 to suppress epithelial–mesenchymal transition via inhibition of AKT/GSK3β/β‐catenin signaling. The inhibitory effect of SIK2 on AKT/GSK3β/β‐catenin signaling was mediated primarily through inactivation of AKT, due to its enhanced dephosphorylation by the upregulated protein phosphatases PHLPP2 and PP2A. The upregulation of PHLPP2 and PP2A was attributable to SIK2 phosphorylation and activation of mTORC1, which inhibited autophagic degradation of these two phosphatases. These results suggest that SIK2 acts as a tumor suppressor in GC and may serve as a novel prognostic biomarker and therapeutic target for this tumor.

Abbreviations

AMPK

AMP‐activated protein kinase

Co‐IP

co‐immunoprecipitation

EMT

epithelial–mesenchymal transition

GAPDH

glyceraldehyde‐3‐phosphate dehydrogenase

GC

gastric cancer

GEO

Gene Expression Omnibus

H&E

hematoxylin and eosin

IHC

immunohistochemistry

mTOR

mechanistic target of rapamycin

NC

negative control

PHLPP

PH domain leucine‐rich repeat protein phosphatase

PP2A

protein phosphatase 2A

qRT‐PCR

quantitative real‐time polymerase chain reaction

SIK2

salt‐inducible kinase 2

TCF/LEF

T cell factor/lymphoid enhancer‐binding factor

TCGA

The Cancer Genome Atlas

     

Constitutive activation of integrin αvβ3 contributes to anoikis resistance of ovarian cancer cells

Epithelial ovarian cancer involves the shedding of single tumor cells or spheroids from the primary tumor into ascites, followed by their survival, and transit to the sites of metastatic colonization within the peritoneal cavity. During their flotation, anchorage‐dependent epithelial‐type tumor cells gain anoikis resistance, implicating integrins, including αvß3. In this study, we explored anoikis escape, cisplatin resistance, and prosurvival signaling as a function of the αvß3 transmembrane conformational activation state in cells suspended in ascites. A high‐affinity and constitutively signaling‐competent αvß3 variant, which harbored unclasped transmembrane domains, was found to confer delayed anoikis onset, enhanced cisplatin resistance, and reduced cell proliferation in ascites or 3D‐hydrogels, involving p27^kip upregulation. Moreover, it promoted EGF‐R expression and activation, prosurvival signaling, implicating FAK, src, and PKB/Akt. This led to the induction of the anti‐apoptotic factors Bcl‐2 and survivin suppressing caspase activation, compared to a signaling‐incapable αvß3 variant displaying firmly associated transmembrane domains. Dissecting the mechanistic players for αvß3‐dependent survival and peritoneal metastasis of ascitic ovarian cancer spheroids is of paramount importance to target their anchorage independence by reversing anoikis resistance and blocking αvß3‐triggered prosurvival signaling.

Abbreviations

CLSM

confocal laser scanning microscopy

ECM

extracellular matrix

EGF‐R

epidermal growth factor receptor

EOC

epithelial ovarian cancer

FAK

focal adhesion kinase

FIGO

Fédération Internationale de Gynécologie et d''Obstétrique

GAPDH

glyceraldehyde 3‐phosphate dehydrogenase)

GpA

glycophorin A

IMD

integrin‐mediated death

MAPK

mitogen‐activated protein kinases

PI

propidium iodide

RGD

Arg‐Gly‐Asp

TMD

transmembrane domain

     

Physical activity,obesity and sedentary behavior in cancer etiology: epidemiologic evidence and biologic mechanisms

An estimated 30–40% of cancers can be prevented through changes in modifiable lifestyle and environmental risk factors known to be associated with cancer incidence. Despite this knowledge, there remains limited awareness that these associations exist. The purpose of this review article was to summarize the epidemiologic evidence concerning the contribution of physical activity, sedentary behavior, and obesity to cancer etiology and to provide an overview of the biologic mechanisms that may be operative between these factors and cancer incidence. Strong and consistent evidence exists that higher levels of physical activity reduce the risk of six different cancer sites (bladder, breast, colon, endometrial, esophageal adenocarcinoma, gastric cardia), whereas moderate evidence inversely associates physical activity with lung, ovarian, pancreatic and renal cancer, and limited evidence inversely correlates physical activity with prostate cancer. Sedentary behavior, independent of physical activity, has been shown to increase the risk of colon, endometrial, and lung cancers. Obesity is an established risk factor for 13 different cancer sites (endometrial, postmenopausal breast, colorectal, esophageal, renal/kidneys, meningioma, pancreatic, gastric cardia, liver, multiple myeloma, ovarian, gallbladder, and thyroid). The main biologic mechanisms whereby physical activity, sedentary behavior, and obesity are related to cancer incidence include an effect on endogenous sex steroids and metabolic hormones, insulin sensitivity, and chronic inflammation. Several emerging pathways related to oxidative stress, DNA methylation, telomere length, immune function, and gut microbiome are presented. Key recommendations for future research in both the epidemiology and biology of the associations between physical activity, sedentary behavior, obesity, and cancer risk are also provided.

Abbreviations

BETA

Breast cancer and Exercise Trial in Alberta

BMI

body mass index

CRP

C‐reactive protein

IGF

insulin growth factor

IGFBP

insulin growth factor‐binding protein

IL‐1β

interleukin‐1 β

IL‐6

interleukin‐6

MET

metabolic equivalents of task

PAGA

Physical Activity Guidelines for Americans

RCT

randomized controlled trial

ROS

reactive oxygen species

RR

relative risk

SAA

serum amyloid A

SHBG

sex hormone‐binding globulin

TNF‐α

tumor necrosis factor‐α

UV

ultraviolet

WCRF/AICR

World Cancer Research Fund/American Institute for Cancer Research

     

In silico molecular target prediction unveils mebendazole as a potent MAPK14 inhibitor

The concept of polypharmacology involves the interaction of drug molecules with multiple molecular targets. It provides a unique opportunity for the repurposing of already‐approved drugs to target key factors involved in human diseases. Herein, we used an in silico target prediction algorithm to investigate the mechanism of action of mebendazole, an antihelminthic drug, currently repurposed in the treatment of brain tumors. First, we confirmed that mebendazole decreased the viability of glioblastoma cells in vitro (IC₅₀ values ranging from 288 nm to 2.1 µm). Our in silico approach unveiled 21 putative molecular targets for mebendazole, including 12 proteins significantly upregulated at the gene level in glioblastoma as compared to normal brain tissue (fold change > 1.5; P < 0.0001). Validation experiments were performed on three major kinases involved in cancer biology: ABL1, MAPK1/ERK2, and MAPK14/p38α. Mebendazole could inhibit the activity of these kinases in vitro in a dose‐dependent manner, with a high potency against MAPK14 (IC₅₀ = 104 ± 46 nm). Its direct binding to MAPK14 was further validated in vitro, and inhibition of MAPK14 kinase activity was confirmed in live glioblastoma cells. Consistent with biophysical data, molecular modeling suggested that mebendazole was able to bind to the catalytic site of MAPK14. Finally, gene silencing demonstrated that MAPK14 is involved in glioblastoma tumor spheroid growth and response to mebendazole treatment. This study thus highlighted the role of MAPK14 in the anticancer mechanism of action of mebendazole and provides further rationale for the pharmacological targeting of MAPK14 in brain tumors. It also opens new avenues for the development of novel MAPK14/p38α inhibitors to treat human diseases.

Abbreviations

BRET

bioluminescence resonance energy transfer

GBM

glioblastoma

GTeX

Genotype‐Tissue Expression

IC₅₀

half‐maximal inhibitory concentration

ITC

isothermal titration calorimetry

MBZ

mebendazole

nanoDSF

nanoscale differential scanning fluorimetry

qRT‐PCR

quantitative real‐time polymerase chain reaction

RT

room temperature

siRNA

small interfering RNA

TCGA

The Cancer Genome Atlas

TSA

thermal shift assay

     

CircRNA EPHB4 modulates stem properties and proliferation of gliomas via sponging miR‐637 and up‐regulating SOX10

Gliomas are the most common type of primary brain tumors. CircRNA ephrin type‐B receptor 4 (circEPHB4) is a circular RNA derived from the receptor tyrosine kinase EPHB4. However, the clinical significance and the specific roles of circEPHB4 in gliomas and glioma cancer stem cells (CSC) have not been studied. Here, we found that circEPHB4 (hsa_circ_0081519) and SOX10 were up‐regulated and microRNA (miR)‐637 was down‐regulated in glioma tissues and cell lines. Consistently, circEPHB4 was positively correlated with SOX10 but negatively correlated with miR‐637. The altered expressions of these molecules were independently associated with overall survival of patients. CircEPHB4 up‐regulated SOX10 and Nestin by directly sponging miR‐637, thereby stimulating stemness, proliferation and glycolysis of glioma cells. Functionally, silencing circEPHB4 or increasing miR‐637 levels in glioma cells was sufficient to inhibit xenograft growth in vivo. In conclusion, the circEPHB4/miR‐637/SOX10/Nestin axis plays a central role in controlling stem properties, self‐renewal and glycolysis of glioma cells and predicts the overall survival of glioma patients. Targeting this axis might provide a therapeutic strategy for malignant gliomas.

Abbreviations

ANOVA

analysis of variance

circEPHB4

circRNA ephrin type‐B receptor 4

circRNA

circular RNA

HK2

hexokinase 2

mRNA

messenger RNA

miRNA

microRNA

PDK1

pyruvate dehydrogenase kinase 1

PI

propidium iodide

PKM2

pyruvate kinase M2

qRT‐PCR

quantitative real‐time polymerase chain reaction

RIP

RNA immunoprecipitation

SD

standard deviation

shcircEPHB4

short hairpin RNA specifically targeting circEPHB4